Optimisation et décentralisation des programmes d'investissements de transport

Joël Maurice, Émile Quinet and Alain Sauvant

Economie & Prévision, 2006, vol. n° 175-176, issue 4, 31-50

Abstract: This article proposes a method to determine the optimal program for a set of projects, taking into account their links (incompatibilities, competition, or complementarity), funding sources (public-private partnership), and possible budget constraints. We analyze the method in formal terms. By applying the Kuhn-Tucker theorem, we identify the direction of the dual variables associated with the constraints and link them to classical optimization methods. We use simulations to test the robustness of the programming criteria commonly used in practice, the scope for decentralized decision-making, and the use of private funding and public-private partnerships to carry out infrastructure projects.

Keywords: Budget Constraints; Decentralization; Project Financing; Transportation Infrastructure; Investment; Programming; Linear Programming (search for similar items in EconPapers)
Date: 2006
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.cairn.info/load_pdf.php?ID_ARTICLE=ECOP_175_0031 (application/pdf)
http://www.cairn.info/revue-economie-et-prevision-1-2006-4-page-31.htm (text/html)
free

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cai:ecoldc:ecop_175_0031

Access Statistics for this article

More articles in Economie & Prévision from La Documentation Française
Bibliographic data for series maintained by Jean-Baptiste de Vathaire ().